Voice Stream Modification for User Comprehension
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Solution Overview
Problem
There is a need to modify voices interacting with users to make them easier to understand, particularly in environments like banks, restaurants, or theme parks, where users may struggle with live or recorded voices due to factors such as frequency, accent, intonation, volume, or language.
Innovation Solution
A computer-implemented system that identifies users through physiological and behavioral information, retrieves user-specific data to adjust voice characteristics like frequency, accent, intonation, volume, or language, using a voice changer to enhance understanding, and collects feedback to refine these adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a live voice or recorded voice interacts with users, then communication can be maintained, but users may struggle to understand the voice due to frequency, accent, intonation, volume, or language issues
Solution Approach 1:
The system dynamically adjusts voice characteristics in real-time based on user identification and preferences. The voice changer modifies frequency, accent, intonation, volume, or language attributes adaptively to match user needs, transforming a static voice interaction into a dynamic, user-tailored communication experience that resolves understanding difficulties
Solution Approach 2:
The patent applies parameter changes by modifying specific voice attributes (frequency, accent, intonation, volume, language) based on identified user characteristics. The system retrieves user information and applies corresponding transformations to the voice stream, changing physical parameters of the voice to improve comprehension for different user types
2Reliability
If voice changes are made based on user identification, then user comprehension improves, but system complexity increases due to identification and data retrieval processes
Solution Approach 1:
The system performs preliminary actions by pre-identifying users through physiological or behavioral information and pre-retrieving their specific voice adjustment preferences before the actual voice interaction occurs. This advance preparation stores user-specific voice change parameters, allowing the voice changer to apply appropriate transformations without complex real-time decision-making, thus reducing operational system complexity
Solution Approach 2:
The system introduces an intermediary layer consisting of an identification system and user information database that mediates between the voice changer and the user. This intermediary structure simplifies the overall system by centralizing user data and identification logic, allowing the voice changer to simply retrieve and apply pre-processed user-specific parameters rather than making complex real-time adjustments
Data Source
AI summary
Methods and systems for providing changes to a live voice stream of a person are disclosed. A change to be made to the live voice stream based on user information can be identified. The live voice stream can be changed based on the user information.